Research Symposium
25th annual Undergraduate Research Symposium, April 1, 2025
Julia Farhat Poster Session 3: 1:45 pm - 2:45 pm / Poster #234
BIO
I am undergraduate student from Jacksonville, Florida, and I am interested in pursuing medicine as a career!
Meta-Analysis: Dyslexia Predictors
Authors: Julia Farhat, Dr. Richard WagnerStudent Major: Behavioral Neuroscience
Mentor: Dr. Richard Wagner
Mentor's Department: Department of Psychology Mentor's College: College of Arts and Sciences Co-Presenters: Allison Kreuger and Owen Wohlrab
Abstract
Dyslexia is a developmental learning disorder that is neurobiological in origin (Snowling 2022). It is characterized by having trouble decoding, recognizing, and spelling words (Cutting 2009). Some predictors of dyslexia include phonological awareness, phonological memory, rapid naming, family risk, and impaired spelling and reading ability of words. The purpose of this meta-analysis is to determine which combination of predictors most prominently lead to dyslexia, as there is no rigid strategy to identifying individuals with the disorder. We do this by finding thousands of studies related to predicting dyslexia, screening the title, abstracts, and eventually screening entire texts on Covidence. Data incorporated in the meta-analysis will be extracted from articles that pass through full-text screening to determine which predictors are most prominent in dyslexia identification. Though the meta-analysis is ongoing, and results are preliminary, this data can be used in further studies to identify individuals with dyslexia and aid early intervention.
Keywords: dyslexia, meta-analysis